Evidence map›Paper›PMID 37932295›Full record

ArticleScientific reports2023

Dynamic analysis of cylindrical foundations under torsional loading via generic discrete-element models simulating soil stratum.

Shi-Shuenn Chen, Chi-Jou Kao, Jun-Yang Shi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Shi-Shuenn Chen *Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei, 106, Taiwan. sschen@mail.ntust.edu.tw.
Chi-Jou Kao *Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei, 106, Taiwan.
Jun-Yang Shi *Department of Civil and Environmental Engineering, National University of Kaohsiung, Kaohsiung, 811, Taiwan.
National Taiwan University of Science and Technology · TWNational University of Kaohsiung · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Torsional vibration, considering soil-structure interaction, is essential to the dynamic response of most irregular structures. A systematic method is developed to seek the optimal simplified model among multiple model candidates for uniform soil on rigid base regarding dynamic soil-foundation interactions. A generic model is identified by the proposed method to simulate the cylindrical foundation resting on or embedded in the soil stratum under torsional vibrations. Various soil-foundation parameters, mainly including embedment depth, layer depth, and mass ratios, are considered in the simplified analysis. The frequency-magnification curves and resonant responses of the foundation using the generic model agree well with theoretical solutions. The resultant resonant magnification factors against mass ratios clearly illustrate the impacts of the whipping effect resulting from the soil-foundation interactions. The generic model performs better and adopts fewer parameters than the existing model to simulate the soil-foundation interactions. In addition, dimensionless parametric charts are presented to estimate foundation responses for engineering applications quickly. The proposed charts also significantly overcome the limitations of the Wolf and Paronesso model. The generic model shows efficiency and accuracy in simulating the soil stratum. This research could contribute to the foundation vibration analysis for torsional responses.

Identifiers

PMID37932295
PMCPMC10628243
OpenAlexW4388413163

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.